Automatic identification of schizophrenia using EEG signals based on discrete wavelet transform and RLNDiP technique with ANN

• Published in: Expert systems with applications Vol. 192; p. 116230
• Main Authors: Sairamya, N.J., Subathra, M.S.P., Thomas George, S.
• Format: Journal Article
• Language: English
• Published: New York Elsevier Ltd 15.04.2022; Elsevier BV
• Subjects: Artificial neural network (ANN); Artificial neural networks; Brain; Computation; Diagnosis; Discrete Wavelet Transform; Discrete wavelet transform (DWT); Electroencephalogram (EEG); Electroencephalography; Feature extraction; Histograms; Relaxed local neighbour difference pattern (RLNDiP); Rhythm; Schizophrenia; Schizophrenia (ScZ); Wavelet transforms; Discrete wavelet transform (DWT); Schizophrenia (ScZ); Artificial neural network (ANN); Electroencephalogram (EEG); Relaxed local neighbour difference pattern (RLNDiP)

•Novel RLNDip technique for automatic identification of schizophrenia using EEG signals is proposed.•A fusion approach of DWT with RLNDiP technique is introduced in this work.•Analysis of EEG signals in different brain rhythms is evaluated.•Obtained results conclude that alpha rhythm achieved a bett...